Science Applications International (SAIC) Net Margin (2012 - 2026)
Science Applications International's Net Margin came in at 5.43% for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 1.75 percentage points from 7.18% a year earlier and down 0.61 percentage points from the prior quarter.
Science Applications International (SAIC) Net Margin (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Science Applications International reported Net Margin of 5.13%, down 0.21 percentage points year-over-year; for FY2026 (ended Jan 30, 2026), it came in at 4.93%, up 0.09 percentage points from FY2025.
- Net Margin carries a five-year change of +1.97 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Net Margin was 4.84% in FY2025 (-1.57 pp), 6.41% in FY2024 (+2.51 pp), 3.89% in FY2023 (+0.15 pp) and 3.75% in FY2022 (+0.78 pp).
- The five-year range for quarterly Net Margin is 2.25% (fiscal Q4 2024) to 13.85% (fiscal Q2 2024).
- Year-over-year, Net Margin increased in four of the last eight quarters, with an average year-over-year change of +0.59 percentage points.
- The fastest year-over-year change in Net Margin over five years came in fiscal Q2 2024 (a gain of 9.86 percentage points), and the weakest in fiscal Q2 2025 (a drop of 9.39 percentage points).
- Business Quant data shows SAIC's Net Margin at 6.03% (Q1 2027), 4.86% (Q4 2026) and 4.18% (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.15 Bn | 43.21 Bn | 1.60 Bn | 16.16% |
| 2 | Cognizant Technology Solutions | 25.69 Bn | 18.86 Bn | 1.83 Bn | 11.60% |
| 3 | Td Synnex | 20.64 Bn | 14.68 Bn | 1.34 Bn | 1.71% |
| 4 | Cdw | 16.25 Bn | 14.24 Bn | 1.32 Bn | 4.18% |
| 5 | Cgi | 15.05 Bn | 12.83 Bn | - | 11.09% |
| 6 | Arrow Electronics | 11.71 Bn | 10.74 Bn | 1.13 Bn | 2.73% |
| 7 | Avnet | 8.41 Bn | 7.59 Bn | 865.03 Mn | 1.53% |
| 8 | Ingram Micro Holding | 6.34 Bn | 1.95 Bn | 958.68 Mn | 0.76% |
| 9 | EPAM Systems | 5.52 Bn | 1.16 Bn | 429.57 Mn | 7.28% |
| 10 | Science Applications International | 5.38 Bn | 4.92 Bn | 239.00 Mn | 5.43% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 5.43% |
| May 1, 2026 | 6.03% |
| Jan 30, 2026 | 4.86% |
| Oct 31, 2025 | 4.18% |
| Aug 1, 2025 | 7.18% |
| May 2, 2025 | 3.62% |
| Jan 31, 2025 | 5.33% |
| Nov 1, 2024 | 5.36% |
| Aug 2, 2024 | 4.46% |
| May 3, 2024 | 4.17% |
| Feb 2, 2024 | 2.25% |
| Nov 3, 2023 | 4.91% |
| Aug 4, 2023 | 13.85% |
| May 5, 2023 | 4.83% |
| Feb 3, 2023 | 3.76% |
| Oct 28, 2022 | 4.19% |
| Jul 29, 2022 | 3.99% |
| Apr 29, 2022 | 3.66% |
| Jan 28, 2022 | 2.41% |
| Oct 29, 2021 | 3.74% |
Science Applications International Net Margin API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=net-margin&ticker=SAIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "ticker": "SAIC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=net-margin&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();